Radar Bistatic Configurations for Soil Moisture Retrieval: A Simulation Study

Pierdicca, Nazzareno; Pulvirenti, Luca; Ticconi, Francesca; Brogioni, Marco

doi:10.1109/tgrs.2008.921495

Cited by 62 publications

(59 citation statements)

References 34 publications

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“…The Kirchhoff Scalar Approximation provides the reasonable good fit to the experimental data in specular direction [12][13][14][15]. The formulation has been used to retrieve the soil moisture with a priori information of rms surface height and correlation length and the results were compared with the proposed empirical approach.…”

Section: Theoretical Approachmentioning

confidence: 99%

“…Most of the work for soil parameter characterization has been established for monostatic system [1,2,[4][5][6][7][8] and lesser studies have been performed for bistatic system [9][10][11][12][13][14][15][16]. Bistatic configuration in contrast to monostatic configuration uses separate transmitter and receiver which are located individually.…”

Section: Introductionmentioning

confidence: 99%

“…Wu et al [16] made a simulation study for bistatic scattering by varying the surface roughness and made a comparison for Advance Integral Equation Model (AIEM) with the Small Perturbation Model (SPM), Kirchhoff Scalar Approximation (SA) and Kirchhoff Stationary Phase Approximation (SPA) for their respective validity range. Pierdicca et al [15] has attempted to retrieve the soil moisture by performing a simulation study based on AIEM model but does not consider the soil texture effect in their study. Nashashibi and Ulaby [13] explore the nature of bistatic scattering from soil surface by performing the measurement at 35 GHz.…”

Section: Introductionmentioning

confidence: 99%

“…The observation was obtained for specular scattering and it was shown that the Kirchhoff Scalar Approximation provide good agreement with the observed data. Studies carried out in the field of bistatic reveal that for soil surface characterization the observation should be made in specular direction [11][12][13][14][15]. In this paper, we have prepared different field for known soil texture constituent that is by varying the soil constituent (i.e., percentage of sand, silt and clay) and prepared 10 fields that represent lower sand value to higher sand value and similarly for silt and clay.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Effect of Soil Texture in Soil Moisture Retrieval for Specular Scattering at C-Band

Prakash¹,

Singh²,

Pathak³

2010

PIER

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Abstract-The objective of this paper is to analyze the behavior of specular scattering for different soil texture fields at various soil moisture (m v ) and analyze the data to retrieve the soil moisture with minimizing the effect of the soil texture. To study the soil texture effect on specular scattering 10 different soil fields were prepared on the basis of change in soil constituents (i.e., percentage of sand, silt and clay) and experiments were performed in both like polarizations (i.e., HH-polarization and V V -polarization) at various incidence angles (i.e., varying incidence angle from 25 • to 70 • in step of 5 • ). Angular response of specular scattering coefficients (σ • hh in HH-polarization and σ • vv in V V -polarization) were analyzed for different soil texture fields with varying soil moisture content whereas the surface roughness condition for all the observations were kept constant. The changes in specular scattering coefficient values were observed with the change in soil texture fields with moisture for both like polarizations. Further, copolarization ratio (P = σ • hh /σ • vv ) study was performed and it was observed that the dependency of copolarization ratio for change in soil texture field at constant soil moisture is less prominent whereas the value of copolarization ratio is varying with variation of moisture content. This emphasizes that copolarization ratio may be minimizing the effect of soil texture while observing the soil moisture on specular direction. Regression analysis is carried out to select the best suitable incidence angle for observing the moisture and texture at C-band in specular direction and 60 • incidence angle was found the best suitable incidence angle. An empirical relationship between P and m v was developed for the retrieval of m v and the obtained relationship gives a good agreement with observed m v . In addition, m v was also retrieved

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Section: Theoretical Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Effect of Soil Texture in Soil Moisture Retrieval for Specular Scattering at C-Band

Prakash¹,

Singh²,

Pathak³

2010

PIER

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“…The first attempt to retrieve soil reflectivity and dielectric constant from Global Navigation Satellite System (GNSS) reflected data of the SMEX02 campaign was reported by [24], while in [25], the Interferometric Pattern Technique has been applied to retrieve the wheat crop height. The feasibility of retrieving SM using bistatic radar systems was assessed in [26], where a simulation study aiming at identifying the best bistatic configurations, in terms of incidence angle, observation direction, polarization and frequency band, for soil moisture content was performed. The technical issues related to the configurations selected in [26] have been discussed in [27].…”

Section: Open Accessmentioning

confidence: 99%

Use of Satellite Radar Bistatic Measurements for Crop Monitoring: A Simulation Study on Corn Fields

et al. 2013

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This paper presents a theoretical study of microwave remote sensing of vegetated surfaces. The purpose of this study is to find out if satellite bistatic radar systems can provide a performance, in terms of sensitivity to vegetation geophysical parameters, equal to or greater than the performance of monostatic systems. Up to now, no suitable bistatic data collected over land surfaces are available from satellite, so that the electromagnetic model developed at Tor Vergata University has been used to perform simulations of the scattering coefficient of corn, over a wide range of observation angles at L-and C-band. According to the electromagnetic model, the most promising configuration is the one which measures the VV or HH bistatic scattering coefficient on the plane that lies at the azimuth angle orthogonal with respect to the incidence plane. At this scattering angle, the soil contribution is minimized, and the effects of vegetation growth are highlighted.

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